Stanford University
Showing 32,201-32,250 of 37,012 Results
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Lauren Tompkins
Associate Professor of Physics
Current Research and Scholarly InterestsProfessor Tompkins’s research focuses on understanding the relationships which govern matter’s most fundamental constituents. As a member of the ATLAS experiment at the Large Hadron Collider (LHC), she utilizes the world’s highest energy person-made particle collisions in order to understand the mechanism that gives particles mass, whether or not our current model of elementary particle interactions is a complete description of nature, and if dark matter can be produced and studied in colliders.
In order to search for the exceedingly rare interactions which may provide insight to these questions, the LHC will produce a blistering rate of 50 to 80 proton-proton collisions every 25 nanoseconds in 2015 and beyond. Professor Tompkins works on the design and implementation of custom electronics which will improve the ATLAS experiment’s ability to pick out the collisions which produce the Higgs bosons, dark matter particles and other rare events out of the deluge of ordinary interactions. Her group focuses on particles called heavy flavor fermions, the most massive particles not responsible for mediating interactions. Because they are so heavy, they may have a special connection to the origin of mass or physics beyond our current models of particle interactions.
She is additionally a member of the Light Dark Matter Experiment (LDMX), a proposed experiment to produce and detect dark matter in the laboratory utilizing an accelerated beam of electrons, and the Heavy Photon Search Experiment, which searches for visible decays of dark photons.
Please see her group website for a full description of her research activities. -
Lucy Tompkins
Lucy Becker Professor of Medicine, Emerita
Current Research and Scholarly InterestsGenetic and cellular basis of pathogenicity of Helicobacter pylori. Molecular epidemiology, hospital epidemiology, quality improvement in healthcare associated infections.
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Michael Tomz
William Bennett Munro Professor of Political Science and Senior Fellow at the Stanford Institute for Economic Policy Research
BioMichael Tomz is the William Bennett Munro Professor in Political Science and Chair of the Department of Political Science at Stanford University. He is also a Senior Fellow at the Stanford Institute for Economic Policy Research, a Senior Fellow at the Stanford Center on Global Poverty and Development, and the Landreth Family University Fellow in Undergraduate Education.
Tomz has published in the fields of international relations, American politics, comparative politics, and statistical methods. He is the author of Reputation and International Cooperation: Sovereign Debt across Three Centuries and numerous articles in political science and economics journals.
Tomz received the International Studies Association’s Karl Deutsch Award, given to a scholar who, within 10 years of earning a Ph.D., has made the most significant contribution to the study of international relations. He has also won the Giovanni Sartori Award for the best book developing or applying qualitative methods; the Jack L. Walker Award for the best article on Political Organizations and Parties; the best paper award from the APSA section on Elections, Public Opinion and Voting Behavior; the best paper award from the APSA section on Experimental Research; and the Okidata Best Research Software Award. His research has been supported by the National Science Foundation.
Tomz has received numerous teaching awards, including the Dean’s Award for Distinguished Teaching and the Cox Medal for Excellence in Fostering Undergraduate Research. In 2017 he received Stanford’s highest teaching honor, the Walter J. Gores Award for Excellence in Teaching. He founded and continues to direct the Summer Research College program for undergraduates in political science.
Tomz holds a Ph.D. from Harvard University; a master’s degree from the University of Oxford, where he was a Marshall Scholar; and an undergraduate degree from Georgetown University. He has been a visiting scholar at the Center for Advanced Study in the Behavioral Sciences, the Federal Reserve Bank of Minneapolis, the Hoover Institution, the Institute for Research in the Social Sciences, and the International Monetary Fund. -
Hui Qi Tong
Clinical Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
BioClinical Professor, Stanford Department of Psychiatry & Behavioral Sciences
Clinical Associate Professor, Stanford Department of Psychiatry & Behavioral Sciences
HS Clinical Assistant Professor, UCSF Department of Psychiatry & San Francisco VA Health Care
Staff Psychologist: Women's Mental Health Program, San Francisco VA Health Care System
Academic visitor: Oxford Mindfulness Center, Department of Psychiatry, Oxford University
Psychology Post-doctoral Fellowship: UCSF/San Francisco VA Health Care System
Psychology Pre-doctoral Internship: UCSF/San Francisco VA Health Care System
Psychology Education: Pacific Graduate School of Psychology, Palo Alto University (2008)
Clinical Research Associate: Department of Psychiatry, Tufts University School of Medicine
Research Fellow: Genetics Division, Department of Medicine, Boston Children's Hospital,Harvard Medical School
Medical Education: Fudan University, Shanghai Medical College, Shanghai, China (1994) -
Matheus Tonholo Ikedo
Postdoctoral Scholar, Radiology
BioMatheus Tonholo Ikedo is a Postdoctoral Research Fellow at Stanford University’s Department of Radiology, where he conducts research under the guidance of Dr. Bruno P. Soares. His academic interests lie at the intersection of pediatric neuroradiology and artificial intelligence, specifically focusing on how AI-driven tools can optimize magnetic resonance imaging (MRI) diagnostics and improve healthcare delivery for neuropediatric patients.
A Brazilian-trained physician, Matheus earned his medical degree from the Federal University of São Paulo (UNIFESP) and completed his Radiology residency at the University of São Paulo (USP), where he was recognized with the Guerbet-InRad Best Resident Award in his final year. -
Alberto Tono
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2021
Ph.D. Minor, Computer Science
Grad RA student-Hourly, Institute for Human-Centered Artificial Intelligence (HAI)BioTono Alberto is a current PhD Student at Stanford under the supervision of Kumagai Professor: Martin Fischer. He is currently exploring ways in which the Convergence between Digital and Humanities can facilitate cross-pollination between different industries within an Ethical Framework focused on augmenting human intelligence.
He served as the Research and Computational Design Leader in Architectural and Engineering organizations, receiving the O1-visa for outstanding abilities with both HOK and HDR. Tono obtained his Masters in Building Engineering - Architecture from the University of Padua and the Harbin Institute of Technology under the supervision of Andrea Giordano, Carlo Zanchetta and Paolo Borin. He has been working in the computational design and deep learning space since 2014. Furthermore, he is improving Building Information Modeling and Virtual Design and Construction (BIM/VDC) workflows within a statistical framework to optimize the sustainability impact of these processes. Hence, Tono is LEED AP certified. He is an international multi-award-winning “hacker” and speaker, and his work within Architecture and Artificial Intelligence brought him to companies in China, the Netherlands, Italy, and California. Thanks to his multidisciplinary approach he worked as Data Scientist and Geometric Deep Learning Researcher at a Physna/Thangs helping to raise over 80 Milion while working on 3D Search and Monocular 3D Shape Retrieval problems.
Currently is focusing on better methodologies for Generative Building Design, centered on capturing design knowledge from the primordial and universal act of Sketching. -
Jack Topper
Graduate, Stanford Center for Professional Development
BioJack Topper is a Scientific Software Engineer at NASA’s Community Coordinated Modeling Center (CCMC), where he designs and operates large-scale scientific data and modeling systems supporting the global space-weather research community. His work focuses on automating high-performance computing workflows, building resilient data pipelines, and translating complex scientific models into reliable, user-facing services.
He collaborates closely with domain scientists to bridge research objectives and production-grade software, and has taken on technical leadership responsibilities spanning system architecture, reliability, and user adoption. His interests sit at the intersection of optimization, decision systems, machine learning, and large-scale infrastructure, with an emphasis on how mathematical models and data-driven methods inform real-world operational decisions.
Jack is currently pursuing Stanford’s Data, Models, and Optimization Certificate through the Stanford Center for Professional Development, including coursework in convex optimization and related decision-science foundations. -
Alice Tor
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioPhD candidate in Electrical Engineering, advised by Dr. Paul Nuyujukian
